Research at Radial

Backed by research.
Driven by care.

Radial clinicians don't just follow the research, they conduct it. From neuromodulation to digital psychiatry, our team actively publishes and participates in clinical trials, ensuring every patient receives care that is grounded in the best available evidence.

Featured publication

Mentalization-Based Treatment for Adolescents: The Framework for Work with Suicide and Self-Injurious Behaviors

Adolescents who self-harm or experience suicidal ideation are among the most challenging patients to engage therapeutically. This chapter presents the Mentalizing-Based Treatment framework for navigating these high-stakes clinical situations with structure, safety, and relational attunement.

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Trudie Rossouw, Owen Muir, Laurel L Williams
Adolescents who self-harm or experience suicidal ideation are among the most challenging patients to engage therapeutically. This chapter presents the Mentalizing-Based Treatment framework for navigating these high-stakes clinical situations with structure, safety, and relational attunement.
Recently in research
Clinical Trials
June 2026

Cross-Dataset Evaluation of an Automated Video-Based Model for Detecting Tardive Dyskinesia Using the Clinician's Tardive Inventory: Validation Study

Trosch R, Sterns A, Grimm B, Larsen L, Talbot B, Ma F, Ranjan R, MacMillan C, Hughes J, Friedman J, Muir O
Can AI reliably spot a movement disorder that clinicians routinely miss? This validation study found that an AI-powered video analysis model accurately detected tardive dyskinesia — a common side effect of long-term antipsychotic use — even when video recordings weren't collected under standardized conditions. The model showed strong agreement with expert clinician ratings and high diagnostic accuracy, suggesting it could support earlier, more consistent screening in real-world clinical settings.
External Publications
April 2026

Mentalization-Based Treatment for Adolescents: The Framework for Work with Suicide and Self-Injurious Behaviors

Trudie Rossouw, Owen Muir, Laurel L Williams
Adolescents who self-harm or experience suicidal ideation are among the most challenging patients to engage therapeutically. This chapter presents the Mentalizing-Based Treatment framework for navigating these high-stakes clinical situations with structure, safety, and relational attunement.
External Publications
April 2026

Real-world efficacy of deep TMS for obsessive-compulsive disorder: interim post-marketing analysis of 192 patients from twenty-two sites

Geoffrey Grammer, Aron Tendler, Mehmet Kemal Arikan, Ryan Vidrine, David Kent, Owen Muir, Carlene MacMillan, Leah Casuto, William Sauve, Kellie Tolin, Steven A Harvey, Misty Borst, Robert Rifkin, Manish Sheth, Brandon Cornejo, Raul Rodriguez, Saad Shakir, Taylor Porter, Deborah Kim, Brent Peterson, Julia Swofford, Brendan Roe, Rebecca Sinclair, Tal Harmelech, Abraham Zangen, Yiftach Roth
Real-world OCD treatment rarely looks like a controlled trial — so what does Deep TMS actually deliver in practice? This interim post-marketing analysis across 22 sites offers some of the earliest real-world efficacy data for dTMS in obsessive-compulsive disorder.

Publications

June 2026
AI / Digital Psychiatry
Cross-Dataset Evaluation of an Automated Video-Based Model for Detecting Tardive Dyskinesia Using the Clinician's Tardive Inventory: Validation Study
Trosch R, Sterns A, Grimm B, Larsen L, Talbot B, Ma F, Ranjan R, MacMillan C, Hughes J, Friedman J, Muir O
Can AI reliably spot a movement disorder that clinicians routinely miss? This validation study found that an AI-powered video analysis model accurately detected tardive dyskinesia — a common side effect of long-term antipsychotic use — even when video recordings weren't collected under standardized conditions. The model showed strong agreement with expert clinician ratings and high diagnostic accuracy, suggesting it could support earlier, more consistent screening in real-world clinical settings.
Movement Disorders
AI / Digital Psychiatry
April 2026
Mentalizing-Based Therapy
Mentalization-Based Treatment for Adolescents: The Framework for Work with Suicide and Self-Injurious Behaviors
Trudie Rossouw, Owen Muir, Laurel L Williams
Adolescents who self-harm or experience suicidal ideation are among the most challenging patients to engage therapeutically. This chapter presents the Mentalizing-Based Treatment framework for navigating these high-stakes clinical situations with structure, safety, and relational attunement.
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Mentalizing-Based Therapy
April 2026
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Real-world efficacy of deep TMS for obsessive-compulsive disorder: interim post-marketing analysis of 192 patients from twenty-two sites
Geoffrey Grammer, Aron Tendler, Mehmet Kemal Arikan, Ryan Vidrine, David Kent, Owen Muir, Carlene MacMillan, Leah Casuto, William Sauve, Kellie Tolin, Steven A Harvey, Misty Borst, Robert Rifkin, Manish Sheth, Brandon Cornejo, Raul Rodriguez, Saad Shakir, Taylor Porter, Deborah Kim, Brent Peterson, Julia Swofford, Brendan Roe, Rebecca Sinclair, Tal Harmelech, Abraham Zangen, Yiftach Roth
Real-world OCD treatment rarely looks like a controlled trial — so what does Deep TMS actually deliver in practice? This interim post-marketing analysis across 22 sites offers some of the earliest real-world efficacy data for dTMS in obsessive-compulsive disorder.
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April 2026
Deep TMS
Deep TMS for major depression, interim post-marketing analysis of 1040 patients.
Steven A Harvey, Aron Tendler, Mark DeLuca, Jimmy Stehberg, Richard Naimark, David Schmidt, Owen Muir, Carlene McMillan, Saad Shakir, Todd Antin, Diana Ghelber, Walter Duffy, Natalie Lender, Michael Goodman, Moshe Isserles, Kenneth Melman, Juan Cabrera, Faisal A Munasifi, David Jones, Jagdeep Kaur, Irkali Mania, Sabeen Faris, Zeeshan Faruqui, Shahid Insaf, Deborah Kim, Susan Rushing, Brent Nelson, Abraham Zangen, Yiftach Roth
Deep TMS for depression isn't just a clinical trial result — it's a real-world practice story. This interim post-marketing analysis of over 1,000 patients documents high response and remission rates across community treatment sites, reinforcing the treatment's broad effectiveness.
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Deep TMS
April 2026
Deep TMS
Accelerated And Non-Accelerated dTMS Protocols Both Effective In Treatment Of MDD
Owen Muir, Danny Ruiz, Rebecca Abbott-Sinclair, Carlene MacMillan
Should clinicians choose accelerated or standard dTMS for depression — or does it matter? This study found that both protocols produced effective outcomes in MDD, suggesting treatment scheduling can be adapted to patient needs without compromising results.
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Deep TMS
April 2026
Deep TMS
TMS Treatment With The H1 Coil in Youth Age 10-21 Effective In Ameliorating MDD Symptoms
Owen Muir, Danny Ruiz, Rebecca Abbott-Sinclair, Carlene MacMillan
Depression in young people aged 10 to 21 demands safe, effective options beyond medication. This study demonstrates that TMS with the H1 coil meaningfully reduces depressive symptoms in youth, supporting its clinical use in younger populations.
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Deep TMS
April 2026
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Real-world efficacy of deep TMS for obsessive-compulsive disorder: Post-marketing data collected from twenty-two clinical sites
Yiftach Roth, Aron Tendler, Mehmet Kemal Arikan, Ryan Vidrine, David Kent, Owen Muir, Carlene MacMillan, Leah Casuto, Geoffrey Grammer, William Sauve, Kellie Tolin, Steven Harvey, Misty Borst, Robert Rifkin, Manish Sheth, Brandon Cornejo, Raul Rodriguez, Saad Shakir, Taylor Porter, Deborah Kim, Abraham Zangen
Deep TMS for OCD has shown promise in controlled trials — but how does it perform across dozens of real-world clinics? This post-marketing analysis of over 1,000 patients from 22 sites confirms strong efficacy for obsessive-compulsive disorder in routine clinical practice.
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April 2026
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Mental health clinicians’ attitudes toward narcissistic personality disorder.
Owen Muir, Jillian N Weinfeld, Danny Ruiz, Dmitry Ostrovsky, Miguel Fiolhais, Carlene MacMillan
Narcissistic personality disorder is one of psychiatry's most stigmatized diagnoses — even among the clinicians treating it. This study surfaces the attitudes and biases mental health professionals hold toward NPD, with implications for training, diagnosis, and therapeutic alliance.
Personality Disorders
Narcissism
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April 2026
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Long-term outcomes of a course of deep TMS for treatment-resistant OCD
Tal Harmelech, Aron Tendler, Mehmet Kemal Arikan, Hamide Laçin Çetin, Muhammed Taha Esmeray, Reyhan Ilhan, Ryan Vidrine, Owen Muir, Carlene MacMillan, Rebecca Sinclair, Saad Shakir, David Kent, Nicholas Evangelidis, Yiftach Roth
Relief from OCD matters — but so does how long it lasts. This study tracks long-term outcomes following a course of Deep TMS for treatment-resistant OCD, providing some of the most durable follow-up data available for this intervention.
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April 2026
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Remission rates following deep TMS for treatment-resistant OCD
Roman Gersner, Aron Tendler, Mehmet Kemal Arikan, Ryan Vidrine, Geoff Grammer, Owen Müir, Carlene MacMillan, Rebecca Sinclair, Saad Shakir, David Kent, Raul Rodriguez, Nicholas Evangelidis, Deborah Kim, Tal Harmelech, Yiftach Roth
Treatment-resistant OCD can leave patients cycling through failed medication trials for years. This study reports remission rates following Deep TMS for OCD, demonstrating that neuromodulation offers a meaningful path forward for patients who haven't responded to conventional care.
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Personality Disorders
Narcissism
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Mentalizing-Based Therapy
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Deep TMS
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Deep TMS
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Mentalizing-Based Therapy
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Mentalizing-Based Therapy
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Deep TMS
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AI / Digital Psychiatry
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Deep TMS
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Deep TMS
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Deep TMS
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Ketamine Monitoring
Movement Disorders
AI / Digital Psychiatry
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Accelerated TMS
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AI / Digital Psychiatry
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Accelerated TMS
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Accelerated TMS
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TMS
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Psychedelic Therapy
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Psychedelic Therapy
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Psychedelic Therapy
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Psychedelic Therapy
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Psychedelic Therapy
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Psychedelic Therapy
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Psychedelic Therapy
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Psychedelic Therapy
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Deep TMS
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Mentalizing-Based Therapy
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Accelerated TMS
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Accelerated TMS
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Accelerated TMS
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Deep TMS
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Deep TMS
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Deep TMS
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Accelerated TMS
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Ketamine Therapy
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Active Clinical Trials

AI / Digital Psychiatry

Cross-Dataset Evaluation of an Automated Video-Based Model for Detecting Tardive Dyskinesia Using the Clinician's Tardive Inventory: Validation Study

Can AI reliably spot a movement disorder that clinicians routinely miss? This validation study found that an AI-powered video analysis model accurately detected tardive dyskinesia — a common side effect of long-term antipsychotic use — even when video recordings weren't collected under standardized conditions. The model showed strong agreement with expert clinician ratings and high diagnostic accuracy, suggesting it could support earlier, more consistent screening in real-world clinical settings.
View
Trosch R, Sterns A, Grimm B, Larsen L, Talbot B, Ma F, Ranjan R, MacMillan C, Hughes J, Friedman J, Muir O
Can AI reliably spot a movement disorder that clinicians routinely miss? This validation study found that an AI-powered video analysis model accurately detected tardive dyskinesia — a common side effect of long-term antipsychotic use — even when video recordings weren't collected under standardized conditions. The model showed strong agreement with expert clinician ratings and high diagnostic accuracy, suggesting it could support earlier, more consistent screening in real-world clinical settings.

Recent PR

Press

Postpartum OCD: Why New Parents Experience Frightening Intrusive Thoughts

Postpartum OCD can cause terrifying intrusive thoughts, compulsive checking, and intense fear after childbirth. Learn what's happening and how to get help.
View more

Leadership

Dr. Owen Scott Muir

Co-founder & Chief Medical Officer

MD, DFAACAP

Dual board-certified child, adolescent and adult psychiatrist, and author of the award-winning Frontier Psychiatrists newsletter and podcast

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Dr. Carlene MacMillan

Co-founder & Chief Product Officer

MD, FCTMSS, DFAACAP

Dual board-certified child, adolescent, and adult psychiatrist focused on expanding access to breakthrough treatments through better technology and insurance coverage advocacy.

Read more

John Capecelatro

CEO & Co-Founder

Elliot Cohen

Executive Chairman & Co-Founder

Stephanie Fillion

VP of Engineering

Jonathan Murray

Chief Commercial Officer

Leah Connor

VP of Operations

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